{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": true,
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "import os\n",
    "import sys\n",
    "os.chdir(\"../..\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": false,
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "********************\n",
      "\n",
      "   Going to generate c302_C2_AVB_VB_DB_VD_DD and run for 4000 on jNeuroML_NEURON\n",
      "\n",
      "********************\n",
      "Set default parameters for C\n",
      "Set default parameters for C2\n",
      "Opened file: /home/developer/forks/CElegansNeuroML/CElegans/pythonScripts/c302/../../../herm_full_edgelist.csv\n",
      "Opened file: /home/developer/forks/CElegansNeuroML/CElegans/pythonScripts/c302/../../../herm_full_edgelist.csv\n",
      "c302      >>>  Positioning muscle: MDR01 at (80,-270,80)\n",
      "c302      >>>  Positioning muscle: MDR02 at (80,-240,80)\n",
      "c302      >>>  Positioning muscle: MDR03 at (80,-210,80)\n",
      "c302      >>>  Positioning muscle: MDR04 at (80,-180,80)\n",
      "c302      >>>  Positioning muscle: MDR05 at (80,-150,80)\n",
      "c302      >>>  Positioning muscle: MDR06 at (80,-120,80)\n",
      "c302      >>>  Positioning muscle: MDR07 at (80,-90,80)\n",
      "c302      >>>  Positioning muscle: MDR08 at (80,-60,80)\n",
      "c302      >>>  Positioning muscle: MDR09 at (80,-30,80)\n",
      "c302      >>>  Positioning muscle: MDR10 at (80,0,80)\n",
      "c302      >>>  Positioning muscle: MDR11 at (80,30,80)\n",
      "c302      >>>  Positioning muscle: MDR12 at (80,60,80)\n",
      "c302      >>>  Positioning muscle: MDR13 at (80,90,80)\n",
      "c302      >>>  Positioning muscle: MDR14 at (80,120,80)\n",
      "c302      >>>  Positioning muscle: MDR15 at (80,150,80)\n",
      "c302      >>>  Positioning muscle: MDR16 at (80,180,80)\n",
      "c302      >>>  Positioning muscle: MDR17 at (80,210,80)\n",
      "c302      >>>  Positioning muscle: MDR18 at (80,240,80)\n",
      "c302      >>>  Positioning muscle: MDR19 at (80,270,80)\n",
      "c302      >>>  Positioning muscle: MDR20 at (80,300,80)\n",
      "c302      >>>  Positioning muscle: MDR21 at (80,330,80)\n",
      "c302      >>>  Positioning muscle: MDR22 at (80,360,80)\n",
      "c302      >>>  Positioning muscle: MDR23 at (80,390,80)\n",
      "c302      >>>  Positioning muscle: MDR24 at (80,420,80)\n",
      "c302      >>>  Positioning muscle: MVR01 at (-80,-270,80)\n",
      "c302      >>>  Positioning muscle: MVR02 at (-80,-240,80)\n",
      "c302      >>>  Positioning muscle: MVR03 at (-80,-210,80)\n",
      "c302      >>>  Positioning muscle: MVR04 at (-80,-180,80)\n",
      "c302      >>>  Positioning muscle: MVR05 at (-80,-150,80)\n",
      "c302      >>>  Positioning muscle: MVR06 at (-80,-120,80)\n",
      "c302      >>>  Positioning muscle: MVR07 at (-80,-90,80)\n",
      "c302      >>>  Positioning muscle: MVR08 at (-80,-60,80)\n",
      "c302      >>>  Positioning muscle: MVR09 at (-80,-30,80)\n",
      "c302      >>>  Positioning muscle: MVR10 at (-80,0,80)\n",
      "c302      >>>  Positioning muscle: MVR11 at (-80,30,80)\n",
      "c302      >>>  Positioning muscle: MVR12 at (-80,60,80)\n",
      "c302      >>>  Positioning muscle: MVR13 at (-80,90,80)\n",
      "c302      >>>  Positioning muscle: MVR14 at (-80,120,80)\n",
      "c302      >>>  Positioning muscle: MVR15 at (-80,150,80)\n",
      "c302      >>>  Positioning muscle: MVR16 at (-80,180,80)\n",
      "c302      >>>  Positioning muscle: MVR17 at (-80,210,80)\n",
      "c302      >>>  Positioning muscle: MVR18 at (-80,240,80)\n",
      "c302      >>>  Positioning muscle: MVR19 at (-80,270,80)\n",
      "c302      >>>  Positioning muscle: MVR20 at (-80,300,80)\n",
      "c302      >>>  Positioning muscle: MVR21 at (-80,330,80)\n",
      "c302      >>>  Positioning muscle: MVR22 at (-80,360,80)\n",
      "c302      >>>  Positioning muscle: MVR23 at (-80,390,80)\n",
      "c302      >>>  Positioning muscle: MVL01 at (-80,-270,-80)\n",
      "c302      >>>  Positioning muscle: MVL02 at (-80,-240,-80)\n",
      "c302      >>>  Positioning muscle: MVL03 at (-80,-210,-80)\n",
      "c302      >>>  Positioning muscle: MVL04 at (-80,-180,-80)\n",
      "c302      >>>  Positioning muscle: MVL05 at (-80,-150,-80)\n",
      "c302      >>>  Positioning muscle: MVL06 at (-80,-120,-80)\n",
      "c302      >>>  Positioning muscle: MVL07 at (-80,-90,-80)\n",
      "c302      >>>  Positioning muscle: MVL08 at (-80,-60,-80)\n",
      "c302      >>>  Positioning muscle: MVL09 at (-80,-30,-80)\n",
      "c302      >>>  Positioning muscle: MVL10 at (-80,0,-80)\n",
      "c302      >>>  Positioning muscle: MVL11 at (-80,30,-80)\n",
      "c302      >>>  Positioning muscle: MVL12 at (-80,60,-80)\n",
      "c302      >>>  Positioning muscle: MVL13 at (-80,90,-80)\n",
      "c302      >>>  Positioning muscle: MVL14 at (-80,120,-80)\n",
      "c302      >>>  Positioning muscle: MVL15 at (-80,150,-80)\n",
      "c302      >>>  Positioning muscle: MVL16 at (-80,180,-80)\n",
      "c302      >>>  Positioning muscle: MVL17 at (-80,210,-80)\n",
      "c302      >>>  Positioning muscle: MVL18 at (-80,240,-80)\n",
      "c302      >>>  Positioning muscle: MVL19 at (-80,270,-80)\n",
      "c302      >>>  Positioning muscle: MVL20 at (-80,300,-80)\n",
      "c302      >>>  Positioning muscle: MVL21 at (-80,330,-80)\n",
      "c302      >>>  Positioning muscle: MVL22 at (-80,360,-80)\n",
      "c302      >>>  Positioning muscle: MVL23 at (-80,390,-80)\n",
      "c302      >>>  Positioning muscle: MVL24 at (-80,420,-80)\n",
      "c302      >>>  Positioning muscle: MDL01 at (80,-270,-80)\n",
      "c302      >>>  Positioning muscle: MDL02 at (80,-240,-80)\n",
      "c302      >>>  Positioning muscle: MDL03 at (80,-210,-80)\n",
      "c302      >>>  Positioning muscle: MDL04 at (80,-180,-80)\n",
      "c302      >>>  Positioning muscle: MDL05 at (80,-150,-80)\n",
      "c302      >>>  Positioning muscle: MDL06 at (80,-120,-80)\n",
      "c302      >>>  Positioning muscle: MDL07 at (80,-90,-80)\n",
      "c302      >>>  Positioning muscle: MDL08 at (80,-60,-80)\n",
      "c302      >>>  Positioning muscle: MDL09 at (80,-30,-80)\n",
      "c302      >>>  Positioning muscle: MDL10 at (80,0,-80)\n",
      "c302      >>>  Positioning muscle: MDL11 at (80,30,-80)\n",
      "c302      >>>  Positioning muscle: MDL12 at (80,60,-80)\n",
      "c302      >>>  Positioning muscle: MDL13 at (80,90,-80)\n",
      "c302      >>>  Positioning muscle: MDL14 at (80,120,-80)\n",
      "c302      >>>  Positioning muscle: MDL15 at (80,150,-80)\n",
      "c302      >>>  Positioning muscle: MDL16 at (80,180,-80)\n",
      "c302      >>>  Positioning muscle: MDL17 at (80,210,-80)\n",
      "c302      >>>  Positioning muscle: MDL18 at (80,240,-80)\n",
      "c302      >>>  Positioning muscle: MDL19 at (80,270,-80)\n",
      "c302      >>>  Positioning muscle: MDL20 at (80,300,-80)\n",
      "c302      >>>  Positioning muscle: MDL21 at (80,330,-80)\n",
      "c302      >>>  Positioning muscle: MDL22 at (80,360,-80)\n",
      "c302      >>>  Positioning muscle: MDL23 at (80,390,-80)\n",
      "c302      >>>  Positioning muscle: MDL24 at (80,420,-80)\n",
      "AVBL-AVBR 6 exc Acetylcholine\n",
      "AVBL-VB2 3 exc Acetylcholine\n",
      "AVBR-AVBL 2 exc Acetylcholine\n",
      "AVBR-DB4 1 exc Acetylcholine\n",
      "AVBR-VD3 2 exc Acetylcholine\n",
      "DB1-DD1 31 exc Acetylcholine\n",
      "DB1-VD2 24 exc Acetylcholine\n",
      "DB1-VD3 2 exc Acetylcholine\n",
      "DB2-DD1 3 exc Acetylcholine\n",
      "DB2-DD2 16 exc Acetylcholine\n",
      "DB2-VD3 33 exc Acetylcholine\n",
      "DB2-VD4 15 exc Acetylcholine\n",
      "DB3-DD2 3 exc Acetylcholine\n",
      "DB3-DD3 14 exc Acetylcholine\n",
      "DB3-DD5 14 exc Acetylcholine\n",
      "DB3-VD4 9 exc Acetylcholine\n",
      "DB3-VD5 24 exc Acetylcholine\n",
      "DB3-VD6 4 exc Acetylcholine\n",
      "DB4-DD3 9 exc Acetylcholine\n",
      "DB4-DD4 2 exc Acetylcholine\n",
      "DB4-DD5 9 exc Acetylcholine\n",
      "DB4-DD6 2 exc Acetylcholine\n",
      "DB4-VD6 14 exc Acetylcholine\n",
      "DB5-VD4 3 exc Acetylcholine\n",
      "DB5-VD5 3 exc Acetylcholine\n",
      "DB5-VD6 13 exc Acetylcholine\n",
      "DB5-VD7 13 exc Acetylcholine\n",
      "DB6-VD7 10 exc Acetylcholine\n",
      "DB6-VD8 12 exc Acetylcholine\n",
      "DB6-VD9 10 exc Acetylcholine\n",
      "DB7-VD8 5 exc Acetylcholine\n",
      "DB7-VD9 5 exc Acetylcholine\n",
      "DB7-VD10 7 exc Acetylcholine\n",
      "DB7-VD11 5 exc Acetylcholine\n",
      "DB7-VD12 5 exc Acetylcholine\n",
      "DB7-VD13 5 exc Acetylcholine\n",
      "DD1-VB2 1 inh GABA\n",
      "DD1-VD2 1 inh GABA\n",
      "DD2-VD3 1 inh GABA\n",
      "DD2-VD4 1 inh GABA\n",
      "VB1-DD1 1 exc Acetylcholine\n",
      "VB1-VD1 4 exc Acetylcholine\n",
      "VB1-VD2 2 exc Acetylcholine\n",
      "VB2-DD1 30 exc Acetylcholine\n",
      "VB2-DD2 1 exc Acetylcholine\n",
      "VB2-VD2 14 exc Acetylcholine\n",
      "VB2-VD3 4 exc Acetylcholine\n",
      "VB3-DD2 36 exc Acetylcholine\n",
      "VB3-VD3 4 exc Acetylcholine\n",
      "VB3-VD4 6 exc Acetylcholine\n",
      "VB4-DD2 7 exc Acetylcholine\n",
      "VB4-DD3 13 exc Acetylcholine\n",
      "VB4-VB5 1 exc Acetylcholine\n",
      "VB4-VD4 1 exc Acetylcholine\n",
      "VB4-VD5 3 exc Acetylcholine\n",
      "VB5-DD3 34 exc Acetylcholine\n",
      "VB5-VD6 10 exc Acetylcholine\n",
      "VB6-DD4 32 exc Acetylcholine\n",
      "VB6-VD6 1 exc Acetylcholine\n",
      "VB6-VD7 22 exc Acetylcholine\n",
      "VB7-DD5 29 exc Acetylcholine\n",
      "VB7-VD8 5 exc Acetylcholine\n",
      "VB7-VD9 6 exc Acetylcholine\n",
      "VB8-DD5 10 exc Acetylcholine\n",
      "VB8-DD6 19 exc Acetylcholine\n",
      "VB8-VD9 5 exc Acetylcholine\n",
      "VB8-VD10 6 exc Acetylcholine\n",
      "VB9-DD5 10 exc Acetylcholine\n",
      "VB9-DD6 19 exc Acetylcholine\n",
      "VB9-VD10 5 exc Acetylcholine\n",
      "VB9-VD11 6 exc Acetylcholine\n",
      "VB10-DD6 19 exc Acetylcholine\n",
      "VB10-VD11 7 exc Acetylcholine\n",
      "VB10-VD12 6 exc Acetylcholine\n",
      "VB11-DD6 19 exc Acetylcholine\n",
      "VB11-VD12 2 exc Acetylcholine\n",
      "VB11-VD13 22 exc Acetylcholine\n",
      "VD1-DD1 2 inh GABA\n",
      "VD1-VB1 5 inh GABA\n",
      "VD2-DD1 1 inh GABA\n",
      "VD2-VB2 4 inh GABA\n",
      "VD3-DD1 6 inh GABA\n",
      "VD3-VB2 2 inh GABA\n",
      "VD3-VB3 1 inh GABA\n",
      "VD4-VB3 2 inh GABA\n",
      "VD5-VB1 1 inh GABA\n",
      "VD5-VB4 2 inh GABA\n",
      "VD6-VB5 1 inh GABA\n",
      "VD7-VB6 2 inh GABA\n",
      "VD7-VB7 1 inh GABA\n",
      "VD8-VB7 2 inh GABA\n",
      "VD9-VB8 2 inh GABA\n",
      "VD10-VB9 1 inh GABA\n",
      "VD11-DD6 2 inh GABA\n",
      "VD11-VB10 1 inh GABA\n",
      "VD12-DD6 2 inh GABA\n",
      "VD12-VB11 1 inh GABA\n",
      "VD13-DD6 3 inh GABA\n",
      "VD13-VD12 1 inh GABA\n",
      "AVBL-AVBR_GJ 17 exc Generic_GJ\n",
      "AVBL-DB2_GJ 4 exc Generic_GJ\n",
      "AVBL-DB3_GJ 9 exc Generic_GJ\n",
      "AVBL-DB4_GJ 4 exc Generic_GJ\n",
      "AVBL-DB5_GJ 3 exc Generic_GJ\n",
      "AVBL-DB6_GJ 4 exc Generic_GJ\n",
      "AVBL-DB7_GJ 13 exc Generic_GJ\n",
      "AVBL-VB1_GJ 1 exc Generic_GJ\n",
      "AVBL-VB2_GJ 14 exc Generic_GJ\n",
      "AVBL-VB4_GJ 3 exc Generic_GJ\n",
      "AVBL-VB5_GJ 3 exc Generic_GJ\n",
      "AVBL-VB6_GJ 3 exc Generic_GJ\n",
      "AVBL-VB7_GJ 4 exc Generic_GJ\n",
      "AVBL-VB8_GJ 4 exc Generic_GJ\n",
      "AVBL-VB9_GJ 3 exc Generic_GJ\n",
      "AVBL-VB10_GJ 4 exc Generic_GJ\n",
      "AVBL-VB11_GJ 5 exc Generic_GJ\n",
      "AVBR-AVBL_GJ 17 exc Generic_GJ\n",
      "AVBR-DB1_GJ 15 exc Generic_GJ\n",
      "AVBR-DB2_GJ 3 exc Generic_GJ\n",
      "AVBR-DB3_GJ 2 exc Generic_GJ\n",
      "AVBR-DB4_GJ 5 exc Generic_GJ\n",
      "AVBR-DB5_GJ 4 exc Generic_GJ\n",
      "AVBR-DB6_GJ 3 exc Generic_GJ\n",
      "AVBR-DB7_GJ 3 exc Generic_GJ\n",
      "AVBR-VB2_GJ 6 exc Generic_GJ\n",
      "AVBR-VB3_GJ 7 exc Generic_GJ\n",
      "AVBR-VB4_GJ 5 exc Generic_GJ\n",
      "AVBR-VB5_GJ 3 exc Generic_GJ\n",
      "AVBR-VB6_GJ 4 exc Generic_GJ\n",
      "AVBR-VB7_GJ 3 exc Generic_GJ\n",
      "AVBR-VB8_GJ 3 exc Generic_GJ\n",
      "AVBR-VB9_GJ 4 exc Generic_GJ\n",
      "AVBR-VB10_GJ 3 exc Generic_GJ\n",
      "AVBR-VB11_GJ 6 exc Generic_GJ\n",
      "DB1-AVBR_GJ 15 exc Generic_GJ\n",
      "DB1-DB2_GJ 5 exc Generic_GJ\n",
      "DB1-VB3_GJ 5 exc Generic_GJ\n",
      "DB2-AVBL_GJ 4 exc Generic_GJ\n",
      "DB2-AVBR_GJ 3 exc Generic_GJ\n",
      "DB2-DB1_GJ 5 exc Generic_GJ\n",
      "DB2-DB3_GJ 14 exc Generic_GJ\n",
      "DB2-VB4_GJ 1 exc Generic_GJ\n",
      "DB3-AVBL_GJ 9 exc Generic_GJ\n",
      "DB3-AVBR_GJ 2 exc Generic_GJ\n",
      "DB3-DB2_GJ 14 exc Generic_GJ\n",
      "DB3-DB4_GJ 1 exc Generic_GJ\n",
      "DB3-DD3_GJ 1 exc Generic_GJ\n",
      "DB3-VB6_GJ 1 exc Generic_GJ\n",
      "DB4-AVBL_GJ 4 exc Generic_GJ\n",
      "DB4-AVBR_GJ 5 exc Generic_GJ\n",
      "DB4-DB3_GJ 1 exc Generic_GJ\n",
      "DB4-DB5_GJ 5 exc Generic_GJ\n",
      "DB4-DD3_GJ 1 exc Generic_GJ\n",
      "DB5-AVBL_GJ 3 exc Generic_GJ\n",
      "DB5-AVBR_GJ 4 exc Generic_GJ\n",
      "DB5-DB4_GJ 5 exc Generic_GJ\n",
      "DB5-DB6_GJ 5 exc Generic_GJ\n",
      "DB6-AVBL_GJ 3 exc Generic_GJ\n",
      "DB6-AVBR_GJ 4 exc Generic_GJ\n",
      "DB6-DB5_GJ 5 exc Generic_GJ\n",
      "DB6-DB7_GJ 5 exc Generic_GJ\n",
      "DB7-AVBL_GJ 13 exc Generic_GJ\n",
      "DB7-AVBR_GJ 3 exc Generic_GJ\n",
      "DB7-DB6_GJ 5 exc Generic_GJ\n",
      "DD1-DD2_GJ 6 exc Generic_GJ\n",
      "DD1-VD2_GJ 3 exc Generic_GJ\n",
      "DD1-VD3_GJ 4 exc Generic_GJ\n",
      "DD2-DD1_GJ 6 exc Generic_GJ\n",
      "DD2-DD3_GJ 2 exc Generic_GJ\n",
      "DD2-VD3_GJ 1 exc Generic_GJ\n",
      "DD2-VD4_GJ 2 exc Generic_GJ\n",
      "DD2-VD5_GJ 1 exc Generic_GJ\n",
      "DD3-DB3_GJ 1 exc Generic_GJ\n",
      "DD3-DB4_GJ 1 exc Generic_GJ\n",
      "DD3-DD2_GJ 2 exc Generic_GJ\n",
      "DD3-DD4_GJ 3 exc Generic_GJ\n",
      "DD4-DD3_GJ 3 exc Generic_GJ\n",
      "DD4-DD5_GJ 3 exc Generic_GJ\n",
      "DD5-DD4_GJ 3 exc Generic_GJ\n",
      "DD5-DD6_GJ 3 exc Generic_GJ\n",
      "DD6-DD5_GJ 3 exc Generic_GJ\n",
      "DD6-VD11_GJ 3 exc Generic_GJ\n",
      "DD6-VD12_GJ 14 exc Generic_GJ\n",
      "DD6-VD13_GJ 2 exc Generic_GJ\n",
      "VB1-AVBL_GJ 1 exc Generic_GJ\n",
      "VB1-VB2_GJ 2 exc Generic_GJ\n",
      "VB2-AVBL_GJ 14 exc Generic_GJ\n",
      "VB2-AVBR_GJ 6 exc Generic_GJ\n",
      "VB2-VB1_GJ 2 exc Generic_GJ\n",
      "VB2-VB3_GJ 10 exc Generic_GJ\n",
      "VB2-VB4_GJ 1 exc Generic_GJ\n",
      "VB3-AVBR_GJ 7 exc Generic_GJ\n",
      "VB3-DB1_GJ 5 exc Generic_GJ\n",
      "VB3-VB2_GJ 10 exc Generic_GJ\n",
      "VB3-VB4_GJ 1 exc Generic_GJ\n",
      "VB4-AVBL_GJ 3 exc Generic_GJ\n",
      "VB4-AVBR_GJ 5 exc Generic_GJ\n",
      "VB4-DB2_GJ 1 exc Generic_GJ\n",
      "VB4-VB2_GJ 1 exc Generic_GJ\n",
      "VB4-VB3_GJ 1 exc Generic_GJ\n",
      "VB4-VB5_GJ 1 exc Generic_GJ\n",
      "VB5-AVBL_GJ 3 exc Generic_GJ\n",
      "VB5-AVBR_GJ 3 exc Generic_GJ\n",
      "VB5-VB4_GJ 1 exc Generic_GJ\n",
      "VB5-VB6_GJ 5 exc Generic_GJ\n",
      "VB6-AVBL_GJ 3 exc Generic_GJ\n",
      "VB6-AVBR_GJ 4 exc Generic_GJ\n",
      "VB6-DB3_GJ 1 exc Generic_GJ\n",
      "VB6-VB5_GJ 5 exc Generic_GJ\n",
      "VB6-VB7_GJ 5 exc Generic_GJ\n",
      "VB7-AVBL_GJ 4 exc Generic_GJ\n",
      "VB7-AVBR_GJ 3 exc Generic_GJ\n",
      "VB7-VB6_GJ 5 exc Generic_GJ\n",
      "VB7-VB8_GJ 5 exc Generic_GJ\n",
      "VB8-AVBL_GJ 3 exc Generic_GJ\n",
      "VB8-AVBR_GJ 4 exc Generic_GJ\n",
      "VB8-VB7_GJ 5 exc Generic_GJ\n",
      "VB8-VB9_GJ 5 exc Generic_GJ\n",
      "VB9-AVBL_GJ 4 exc Generic_GJ\n",
      "VB9-AVBR_GJ 3 exc Generic_GJ\n",
      "VB9-VB8_GJ 5 exc Generic_GJ\n",
      "VB9-VB10_GJ 5 exc Generic_GJ\n",
      "VB10-AVBL_GJ 3 exc Generic_GJ\n",
      "VB10-AVBR_GJ 4 exc Generic_GJ\n",
      "VB10-VB9_GJ 5 exc Generic_GJ\n",
      "VB10-VB11_GJ 4 exc Generic_GJ\n",
      "VB10-VD11_GJ 1 exc Generic_GJ\n",
      "VB10-VD12_GJ 1 exc Generic_GJ\n",
      "VB11-AVBL_GJ 5 exc Generic_GJ\n",
      "VB11-AVBR_GJ 6 exc Generic_GJ\n",
      "VB11-VB10_GJ 4 exc Generic_GJ\n",
      "VD1-VD2_GJ 4 exc Generic_GJ\n",
      "VD2-DD1_GJ 3 exc Generic_GJ\n",
      "VD2-VD1_GJ 4 exc Generic_GJ\n",
      "VD2-VD2_GJ 3 exc Generic_GJ\n",
      "VD2-VD3_GJ 7 exc Generic_GJ\n",
      "VD3-DD1_GJ 4 exc Generic_GJ\n",
      "VD3-DD2_GJ 1 exc Generic_GJ\n",
      "VD3-VD2_GJ 7 exc Generic_GJ\n",
      "VD3-VD4_GJ 6 exc Generic_GJ\n",
      "VD4-DD2_GJ 2 exc Generic_GJ\n",
      "VD4-VD3_GJ 6 exc Generic_GJ\n",
      "VD4-VD5_GJ 1 exc Generic_GJ\n",
      "VD5-DD2_GJ 1 exc Generic_GJ\n",
      "VD5-VD4_GJ 1 exc Generic_GJ\n",
      "VD5-VD6_GJ 10 exc Generic_GJ\n",
      "VD6-VD5_GJ 10 exc Generic_GJ\n",
      "VD6-VD7_GJ 15 exc Generic_GJ\n",
      "VD7-VD6_GJ 15 exc Generic_GJ\n",
      "VD7-VD8_GJ 6 exc Generic_GJ\n",
      "VD8-VD7_GJ 6 exc Generic_GJ\n",
      "VD8-VD9_GJ 6 exc Generic_GJ\n",
      "VD9-VD8_GJ 6 exc Generic_GJ\n",
      "VD9-VD10_GJ 6 exc Generic_GJ\n",
      "VD10-VD9_GJ 6 exc Generic_GJ\n",
      "VD10-VD11_GJ 6 exc Generic_GJ\n",
      "VD11-DD6_GJ 3 exc Generic_GJ\n",
      "VD11-VB10_GJ 1 exc Generic_GJ\n",
      "VD11-VD10_GJ 6 exc Generic_GJ\n",
      "VD11-VD12_GJ 6 exc Generic_GJ\n",
      "VD12-DD6_GJ 14 exc Generic_GJ\n",
      "VD12-VB10_GJ 1 exc Generic_GJ\n",
      "VD12-VD11_GJ 6 exc Generic_GJ\n",
      "VD12-VD13_GJ 6 exc Generic_GJ\n",
      "VD13-DD6_GJ 2 exc Generic_GJ\n",
      "VD13-VD12_GJ 6 exc Generic_GJ\n",
      "AVBR-MVL16 1 exc Acetylcholine\n",
      "DB1-MDL06 3 exc Acetylcholine\n",
      "DB1-MDL08 3 exc Acetylcholine\n",
      "DB1-MDL09 6 exc Acetylcholine\n",
      "DB1-MDR08 6 exc Acetylcholine\n",
      "DB1-MDR09 2 exc Acetylcholine\n",
      "DB2-MDL09 2 exc Acetylcholine\n",
      "DB2-MDL10 4 exc Acetylcholine\n",
      "DB2-MDL11 5 exc Acetylcholine\n",
      "DB2-MDL12 1 exc Acetylcholine\n",
      "DB2-MDR09 1 exc Acetylcholine\n",
      "DB2-MDR10 6 exc Acetylcholine\n",
      "DB2-MDR11 8 exc Acetylcholine\n",
      "DB3-MDL11 6 exc Acetylcholine\n",
      "DB3-MDL12 1 exc Acetylcholine\n",
      "DB3-MDL13 3 exc Acetylcholine\n",
      "DB3-MDL14 1 exc Acetylcholine\n",
      "DB3-MDR11 2 exc Acetylcholine\n",
      "DB3-MDR12 13 exc Acetylcholine\n",
      "DB3-MDR13 1 exc Acetylcholine\n",
      "DB4-MDL13 4 exc Acetylcholine\n",
      "DB4-MDL14 1 exc Acetylcholine\n",
      "DB4-MDL15 3 exc Acetylcholine\n",
      "DB4-MDL16 3 exc Acetylcholine\n",
      "DB4-MDR13 3 exc Acetylcholine\n",
      "DB4-MDR14 5 exc Acetylcholine\n",
      "DB4-MDR15 3 exc Acetylcholine\n",
      "DB4-MDR16 3 exc Acetylcholine\n",
      "DB5-MDL14 2 exc Acetylcholine\n",
      "DB5-MDL15 2 exc Acetylcholine\n",
      "DB5-MDL16 2 exc Acetylcholine\n",
      "DB5-MDL17 2 exc Acetylcholine\n",
      "DB5-MDL18 2 exc Acetylcholine\n",
      "DB5-MDL19 2 exc Acetylcholine\n",
      "DB5-MDR14 2 exc Acetylcholine\n",
      "DB5-MDR15 2 exc Acetylcholine\n",
      "DB5-MDR16 2 exc Acetylcholine\n",
      "DB5-MDR17 2 exc Acetylcholine\n",
      "DB5-MDR18 2 exc Acetylcholine\n",
      "DB5-MDR19 2 exc Acetylcholine\n",
      "DB6-MDL16 2 exc Acetylcholine\n",
      "DB6-MDL17 2 exc Acetylcholine\n",
      "DB6-MDL18 2 exc Acetylcholine\n",
      "DB6-MDL19 2 exc Acetylcholine\n",
      "DB6-MDL20 2 exc Acetylcholine\n",
      "DB6-MDL21 2 exc Acetylcholine\n",
      "DB6-MDR16 2 exc Acetylcholine\n",
      "DB6-MDR17 2 exc Acetylcholine\n",
      "DB6-MDR18 2 exc Acetylcholine\n",
      "DB6-MDR19 2 exc Acetylcholine\n",
      "DB6-MDR20 2 exc Acetylcholine\n",
      "DB6-MDR21 2 exc Acetylcholine\n",
      "DB7-MDL19 2 exc Acetylcholine\n",
      "DB7-MDL20 2 exc Acetylcholine\n",
      "DB7-MDL21 2 exc Acetylcholine\n",
      "DB7-MDL22 2 exc Acetylcholine\n",
      "DB7-MDL23 2 exc Acetylcholine\n",
      "DB7-MDL24 2 exc Acetylcholine\n",
      "DB7-MDR19 2 exc Acetylcholine\n",
      "DB7-MDR20 2 exc Acetylcholine\n",
      "DB7-MDR21 2 exc Acetylcholine\n",
      "DB7-MDR22 2 exc Acetylcholine\n",
      "DB7-MDR23 2 exc Acetylcholine\n",
      "DB7-MDR24 2 exc Acetylcholine\n",
      "DD1-MDL06 1 inh GABA\n",
      "DD1-MDL07 4 inh GABA\n",
      "DD1-MDL08 9 inh GABA\n",
      "DD1-MDL09 13 inh GABA\n",
      "DD1-MDR06 3 inh GABA\n",
      "DD1-MDR07 2 inh GABA\n",
      "DD1-MDR08 10 inh GABA\n",
      "DD1-MDR09 8 inh GABA\n",
      "DD1-MDR10 2 inh GABA\n",
      "DD2-MDL10 4 inh GABA\n",
      "DD2-MDL11 9 inh GABA\n",
      "DD2-MDL12 6 inh GABA\n",
      "DD2-MDR10 2 inh GABA\n",
      "DD2-MDR11 10 inh GABA\n",
      "DD2-MDR12 1 inh GABA\n",
      "DD3-MDL12 4 inh GABA\n",
      "DD3-MDL13 6 inh GABA\n",
      "DD3-MDL14 2 inh GABA\n",
      "DD3-MDL15 5 inh GABA\n",
      "DD3-MDR11 1 inh GABA\n",
      "DD3-MDR12 8 inh GABA\n",
      "DD3-MDR13 8 inh GABA\n",
      "DD3-MDR14 3 inh GABA\n",
      "DD3-MDR15 5 inh GABA\n",
      "DD4-MDL16 5 inh GABA\n",
      "DD4-MDL17 9 inh GABA\n",
      "DD4-MDL18 5 inh GABA\n",
      "DD4-MDR13 1 inh GABA\n",
      "DD4-MDR14 2 inh GABA\n",
      "DD4-MDR15 2 inh GABA\n",
      "DD4-MDR16 5 inh GABA\n",
      "DD4-MDR17 9 inh GABA\n",
      "DD4-MDR18 5 inh GABA\n",
      "DD5-MDL19 5 inh GABA\n",
      "DD5-MDL20 9 inh GABA\n",
      "DD5-MDL21 5 inh GABA\n",
      "DD5-MDR19 5 inh GABA\n",
      "DD5-MDR20 9 inh GABA\n",
      "DD5-MDR21 5 inh GABA\n",
      "DD6-MDL22 5 inh GABA\n",
      "DD6-MDL23 9 inh GABA\n",
      "DD6-MDL24 5 inh GABA\n",
      "DD6-MDR22 5 inh GABA\n",
      "DD6-MDR23 9 inh GABA\n",
      "DD6-MDR24 5 inh GABA\n",
      "VB1-MVL07 2 exc Acetylcholine\n",
      "VB1-MVR07 5 exc Acetylcholine\n",
      "VB1-MVR09 1 exc Acetylcholine\n",
      "VB2-MVL08 2 exc Acetylcholine\n",
      "VB2-MVL09 14 exc Acetylcholine\n",
      "VB2-MVL10 4 exc Acetylcholine\n",
      "VB2-MVL11 1 exc Acetylcholine\n",
      "VB2-MVR08 6 exc Acetylcholine\n",
      "VB2-MVR10 10 exc Acetylcholine\n",
      "VB2-MVR11 6 exc Acetylcholine\n",
      "VB3-MVL10 1 exc Acetylcholine\n",
      "VB3-MVL11 8 exc Acetylcholine\n",
      "VB3-MVL12 8 exc Acetylcholine\n",
      "VB3-MVL13 3 exc Acetylcholine\n",
      "VB3-MVR10 4 exc Acetylcholine\n",
      "VB3-MVR11 6 exc Acetylcholine\n",
      "VB3-MVR12 8 exc Acetylcholine\n",
      "VB3-MVR13 4 exc Acetylcholine\n",
      "VB4-MVL12 3 exc Acetylcholine\n",
      "VB4-MVL13 5 exc Acetylcholine\n",
      "VB4-MVR12 3 exc Acetylcholine\n",
      "VB4-MVR13 3 exc Acetylcholine\n",
      "VB4-MVR14 4 exc Acetylcholine\n",
      "VB5-MVL12 3 exc Acetylcholine\n",
      "VB5-MVL13 1 exc Acetylcholine\n",
      "VB5-MVL14 8 exc Acetylcholine\n",
      "VB5-MVL15 7 exc Acetylcholine\n",
      "VB5-MVR13 7 exc Acetylcholine\n",
      "VB5-MVR14 6 exc Acetylcholine\n",
      "VB5-MVR15 1 exc Acetylcholine\n",
      "VB6-MVL15 4 exc Acetylcholine\n",
      "VB6-MVL16 3 exc Acetylcholine\n",
      "VB6-MVR14 6 exc Acetylcholine\n",
      "VB6-MVR15 12 exc Acetylcholine\n",
      "VB6-MVR16 4 exc Acetylcholine\n",
      "VB7-MVL16 4 exc Acetylcholine\n",
      "VB7-MVL17 4 exc Acetylcholine\n",
      "VB7-MVL18 4 exc Acetylcholine\n",
      "VB7-MVR16 4 exc Acetylcholine\n",
      "VB7-MVR17 4 exc Acetylcholine\n",
      "VB7-MVR18 4 exc Acetylcholine\n",
      "VB8-MVL18 4 exc Acetylcholine\n",
      "VB8-MVL19 4 exc Acetylcholine\n",
      "VB8-MVL20 4 exc Acetylcholine\n",
      "VB8-MVR18 4 exc Acetylcholine\n",
      "VB8-MVR19 4 exc Acetylcholine\n",
      "VB8-MVR20 4 exc Acetylcholine\n",
      "VB9-MVL19 4 exc Acetylcholine\n",
      "VB9-MVL20 4 exc Acetylcholine\n",
      "VB9-MVL21 4 exc Acetylcholine\n",
      "VB9-MVR19 4 exc Acetylcholine\n",
      "VB9-MVR20 4 exc Acetylcholine\n",
      "VB9-MVR21 4 exc Acetylcholine\n",
      "VB10-MVL20 4 exc Acetylcholine\n",
      "VB10-MVL21 4 exc Acetylcholine\n",
      "VB10-MVL22 4 exc Acetylcholine\n",
      "VB10-MVR20 4 exc Acetylcholine\n",
      "VB10-MVR21 4 exc Acetylcholine\n",
      "VB10-MVR22 4 exc Acetylcholine\n",
      "VB11-MVL21 4 exc Acetylcholine\n",
      "VB11-MVL22 4 exc Acetylcholine\n",
      "VB11-MVL23 4 exc Acetylcholine\n",
      "VB11-MVR21 4 exc Acetylcholine\n",
      "VB11-MVR22 4 exc Acetylcholine\n",
      "VB11-MVR23 4 exc Acetylcholine\n",
      "VD1-MVL07 11 inh GABA\n",
      "VD1-MVL08 3 inh GABA\n",
      "VD2-MVL07 2 inh GABA\n",
      "VD2-MVL08 8 inh GABA\n",
      "VD2-MVL09 12 inh GABA\n",
      "VD2-MVR07 3 inh GABA\n",
      "VD2-MVR08 12 inh GABA\n",
      "VD2-MVR09 5 inh GABA\n",
      "VD3-MVL10 6 inh GABA\n",
      "VD3-MVL11 8 inh GABA\n",
      "VD3-MVR10 6 inh GABA\n",
      "VD3-MVR11 12 inh GABA\n",
      "VD4-MVL12 5 inh GABA\n",
      "VD4-MVL13 6 inh GABA\n",
      "VD4-MVR11 4 inh GABA\n",
      "VD4-MVR12 4 inh GABA\n",
      "VD4-MVR13 3 inh GABA\n",
      "VD5-MVL12 4 inh GABA\n",
      "VD5-MVL13 7 inh GABA\n",
      "VD5-MVL14 1 inh GABA\n",
      "VD5-MVR12 3 inh GABA\n",
      "VD5-MVR13 10 inh GABA\n",
      "VD6-MVL13 1 inh GABA\n",
      "VD6-MVL14 10 inh GABA\n",
      "VD6-MVL15 3 inh GABA\n",
      "VD6-MVL16 1 inh GABA\n",
      "VD6-MVR13 4 inh GABA\n",
      "VD6-MVR14 7 inh GABA\n",
      "VD6-MVR15 1 inh GABA\n",
      "VD7-MVL14 1 inh GABA\n",
      "VD7-MVL15 8 inh GABA\n",
      "VD7-MVL16 7 inh GABA\n",
      "VD7-MVR14 6 inh GABA\n",
      "VD7-MVR15 7 inh GABA\n",
      "VD7-MVR16 1 inh GABA\n",
      "VD8-MVL15 4 inh GABA\n",
      "VD8-MVL16 4 inh GABA\n",
      "VD8-MVL17 4 inh GABA\n",
      "VD8-MVR16 4 inh GABA\n",
      "VD8-MVR17 4 inh GABA\n",
      "VD8-MVR18 4 inh GABA\n",
      "VD9-MVL17 4 inh GABA\n",
      "VD9-MVL18 4 inh GABA\n",
      "VD9-MVL19 4 inh GABA\n",
      "VD9-MVR18 4 inh GABA\n",
      "VD9-MVR19 4 inh GABA\n",
      "VD9-MVR20 4 inh GABA\n",
      "VD10-MVL18 4 inh GABA\n",
      "VD10-MVL19 4 inh GABA\n",
      "VD10-MVL20 4 inh GABA\n",
      "VD10-MVR19 4 inh GABA\n",
      "VD10-MVR20 4 inh GABA\n",
      "VD10-MVR21 4 inh GABA\n",
      "VD11-MVL19 4 inh GABA\n",
      "VD11-MVL20 4 inh GABA\n",
      "VD11-MVL21 4 inh GABA\n",
      "VD11-MVR20 4 inh GABA\n",
      "VD11-MVR21 4 inh GABA\n",
      "VD11-MVR22 4 inh GABA\n",
      "VD12-MVL20 4 inh GABA\n",
      "VD12-MVL21 4 inh GABA\n",
      "VD12-MVL22 4 inh GABA\n",
      "VD12-MVR21 4 inh GABA\n",
      "VD12-MVR22 4 inh GABA\n",
      "VD12-MVR23 4 inh GABA\n",
      "VD13-MVL21 4 inh GABA\n",
      "VD13-MVL22 4 inh GABA\n",
      "VD13-MVL23 4 inh GABA\n",
      "VD13-MVR22 4 inh GABA\n",
      "VD13-MVR23 4 inh GABA\n",
      "DD1-MVL08_GJ 2 exc Generic_GJ\n",
      "VD2-MDL09_GJ 1 exc Generic_GJ\n",
      "MDL01-MDL02_GJ 15 exc Generic_GJ\n",
      "MDL01-MDL03_GJ 15 exc Generic_GJ\n",
      "MDL02-MDL01_GJ 15 exc Generic_GJ\n",
      "MDL02-MDL03_GJ 15 exc Generic_GJ\n",
      "MDL03-MDL01_GJ 15 exc Generic_GJ\n",
      "MDL03-MDL02_GJ 15 exc Generic_GJ\n",
      "MDL03-MDL04_GJ 15 exc Generic_GJ\n",
      "MDL04-MDL03_GJ 15 exc Generic_GJ\n",
      "MDL04-MDL05_GJ 15 exc Generic_GJ\n",
      "MDL05-MDL04_GJ 15 exc Generic_GJ\n",
      "MDL05-MDL06_GJ 15 exc Generic_GJ\n",
      "MDL06-MDL05_GJ 15 exc Generic_GJ\n",
      "MDL06-MDL07_GJ 15 exc Generic_GJ\n",
      "MDL07-MDL06_GJ 15 exc Generic_GJ\n",
      "MDL07-MDL08_GJ 15 exc Generic_GJ\n",
      "MDL08-MDL07_GJ 15 exc Generic_GJ\n",
      "MDL08-MDL09_GJ 15 exc Generic_GJ\n",
      "MDL09-MDL08_GJ 15 exc Generic_GJ\n",
      "MDL09-MDL10_GJ 15 exc Generic_GJ\n",
      "MDL10-MDL09_GJ 15 exc Generic_GJ\n",
      "MDL10-MDL11_GJ 15 exc Generic_GJ\n",
      "MDL11-MDL10_GJ 15 exc Generic_GJ\n",
      "MDL11-MDL12_GJ 15 exc Generic_GJ\n",
      "MDL12-MDL11_GJ 15 exc Generic_GJ\n",
      "MDL12-MDL13_GJ 15 exc Generic_GJ\n",
      "MDL13-MDL12_GJ 15 exc Generic_GJ\n",
      "MDL13-MDL14_GJ 15 exc Generic_GJ\n",
      "MDL14-MDL13_GJ 15 exc Generic_GJ\n",
      "MDL14-MDL15_GJ 15 exc Generic_GJ\n",
      "MDL15-MDL14_GJ 15 exc Generic_GJ\n",
      "MDL15-MDL16_GJ 15 exc Generic_GJ\n",
      "MDL16-MDL15_GJ 15 exc Generic_GJ\n",
      "MDL16-MDL17_GJ 15 exc Generic_GJ\n",
      "MDL17-MDL16_GJ 15 exc Generic_GJ\n",
      "MDL17-MDL18_GJ 15 exc Generic_GJ\n",
      "MDL18-MDL17_GJ 15 exc Generic_GJ\n",
      "MDL18-MDL19_GJ 15 exc Generic_GJ\n",
      "MDL19-MDL18_GJ 15 exc Generic_GJ\n",
      "MDL19-MDL20_GJ 15 exc Generic_GJ\n",
      "MDL20-MDL19_GJ 15 exc Generic_GJ\n",
      "MDL20-MDL21_GJ 15 exc Generic_GJ\n",
      "MDL21-MDL20_GJ 15 exc Generic_GJ\n",
      "MDL21-MDL22_GJ 15 exc Generic_GJ\n",
      "MDL22-MDL21_GJ 15 exc Generic_GJ\n",
      "MDL22-MDL23_GJ 15 exc Generic_GJ\n",
      "MDL23-MDL22_GJ 15 exc Generic_GJ\n",
      "MDL23-MDL24_GJ 15 exc Generic_GJ\n",
      "MDL24-MDL23_GJ 15 exc Generic_GJ\n",
      "MDR01-MDR02_GJ 15 exc Generic_GJ\n",
      "MDR01-MDR03_GJ 15 exc Generic_GJ\n",
      "MDR02-MDR01_GJ 15 exc Generic_GJ\n",
      "MDR02-MDR03_GJ 15 exc Generic_GJ\n",
      "MDR03-MDR01_GJ 15 exc Generic_GJ\n",
      "MDR03-MDR02_GJ 15 exc Generic_GJ\n",
      "MDR03-MDR04_GJ 15 exc Generic_GJ\n",
      "MDR04-MDR03_GJ 15 exc Generic_GJ\n",
      "MDR04-MDR05_GJ 15 exc Generic_GJ\n",
      "MDR05-MDR04_GJ 15 exc Generic_GJ\n",
      "MDR05-MDR06_GJ 15 exc Generic_GJ\n",
      "MDR06-MDR05_GJ 15 exc Generic_GJ\n",
      "MDR06-MDR07_GJ 15 exc Generic_GJ\n",
      "MDR07-MDR06_GJ 15 exc Generic_GJ\n",
      "MDR07-MDR08_GJ 15 exc Generic_GJ\n",
      "MDR08-MDR07_GJ 15 exc Generic_GJ\n",
      "MDR08-MDR09_GJ 15 exc Generic_GJ\n",
      "MDR09-MDR08_GJ 15 exc Generic_GJ\n",
      "MDR09-MDR10_GJ 15 exc Generic_GJ\n",
      "MDR10-MDR09_GJ 15 exc Generic_GJ\n",
      "MDR10-MDR11_GJ 15 exc Generic_GJ\n",
      "MDR11-MDR10_GJ 15 exc Generic_GJ\n",
      "MDR11-MDR12_GJ 15 exc Generic_GJ\n",
      "MDR12-MDR11_GJ 15 exc Generic_GJ\n",
      "MDR12-MDR13_GJ 15 exc Generic_GJ\n",
      "MDR13-MDR12_GJ 15 exc Generic_GJ\n",
      "MDR13-MDR14_GJ 15 exc Generic_GJ\n",
      "MDR14-MDR13_GJ 15 exc Generic_GJ\n",
      "MDR14-MDR15_GJ 15 exc Generic_GJ\n",
      "MDR15-MDR14_GJ 15 exc Generic_GJ\n",
      "MDR15-MDR16_GJ 15 exc Generic_GJ\n",
      "MDR16-MDR15_GJ 15 exc Generic_GJ\n",
      "MDR16-MDR17_GJ 15 exc Generic_GJ\n",
      "MDR17-MDR16_GJ 15 exc Generic_GJ\n",
      "MDR17-MDR18_GJ 15 exc Generic_GJ\n",
      "MDR18-MDR17_GJ 15 exc Generic_GJ\n",
      "MDR18-MDR19_GJ 15 exc Generic_GJ\n",
      "MDR19-MDR18_GJ 15 exc Generic_GJ\n",
      "MDR19-MDR20_GJ 15 exc Generic_GJ\n",
      "MDR20-MDR19_GJ 15 exc Generic_GJ\n",
      "MDR20-MDR21_GJ 15 exc Generic_GJ\n",
      "MDR21-MDR20_GJ 15 exc Generic_GJ\n",
      "MDR21-MDR22_GJ 15 exc Generic_GJ\n",
      "MDR22-MDR21_GJ 15 exc Generic_GJ\n",
      "MDR22-MDR23_GJ 15 exc Generic_GJ\n",
      "MDR23-MDR22_GJ 15 exc Generic_GJ\n",
      "MDR23-MDR24_GJ 15 exc Generic_GJ\n",
      "MDR24-MDR23_GJ 15 exc Generic_GJ\n",
      "MVL01-MVL02_GJ 15 exc Generic_GJ\n",
      "MVL01-MVL03_GJ 15 exc Generic_GJ\n",
      "MVL02-MVL01_GJ 15 exc Generic_GJ\n",
      "MVL02-MVL03_GJ 15 exc Generic_GJ\n",
      "MVL03-MVL01_GJ 15 exc Generic_GJ\n",
      "MVL03-MVL02_GJ 15 exc Generic_GJ\n",
      "MVL03-MVL04_GJ 15 exc Generic_GJ\n",
      "MVL04-MVL03_GJ 15 exc Generic_GJ\n",
      "MVL04-MVL05_GJ 15 exc Generic_GJ\n",
      "MVL05-MVL04_GJ 15 exc Generic_GJ\n",
      "MVL05-MVL06_GJ 15 exc Generic_GJ\n",
      "MVL06-MVL05_GJ 15 exc Generic_GJ\n",
      "MVL06-MVL07_GJ 15 exc Generic_GJ\n",
      "MVL07-MVL06_GJ 15 exc Generic_GJ\n",
      "MVL07-MVL08_GJ 15 exc Generic_GJ\n",
      "MVL08-MVL07_GJ 15 exc Generic_GJ\n",
      "MVL08-MVL09_GJ 15 exc Generic_GJ\n",
      "MVL09-MVL08_GJ 15 exc Generic_GJ\n",
      "MVL09-MVL10_GJ 15 exc Generic_GJ\n",
      "MVL09-MVR08_GJ 2 exc Generic_GJ\n",
      "MVL10-MVL09_GJ 15 exc Generic_GJ\n",
      "MVL10-MVL11_GJ 15 exc Generic_GJ\n",
      "MVL11-MVL10_GJ 15 exc Generic_GJ\n",
      "MVL11-MVL12_GJ 15 exc Generic_GJ\n",
      "MVL12-MVL11_GJ 15 exc Generic_GJ\n",
      "MVL12-MVL13_GJ 15 exc Generic_GJ\n",
      "MVL13-MVL12_GJ 15 exc Generic_GJ\n",
      "MVL13-MVL14_GJ 15 exc Generic_GJ\n",
      "MVL14-MVL13_GJ 15 exc Generic_GJ\n",
      "MVL14-MVL15_GJ 15 exc Generic_GJ\n",
      "MVL15-MVL14_GJ 15 exc Generic_GJ\n",
      "MVL15-MVL16_GJ 15 exc Generic_GJ\n",
      "MVL16-MVL15_GJ 15 exc Generic_GJ\n",
      "MVL16-MVL17_GJ 15 exc Generic_GJ\n",
      "MVL17-MVL16_GJ 15 exc Generic_GJ\n",
      "MVL17-MVL18_GJ 15 exc Generic_GJ\n",
      "MVL18-MVL17_GJ 15 exc Generic_GJ\n",
      "MVL18-MVL19_GJ 15 exc Generic_GJ\n",
      "MVL19-MVL18_GJ 15 exc Generic_GJ\n",
      "MVL19-MVL20_GJ 15 exc Generic_GJ\n",
      "MVL20-MVL19_GJ 15 exc Generic_GJ\n",
      "MVL20-MVL21_GJ 15 exc Generic_GJ\n",
      "MVL21-MVL20_GJ 15 exc Generic_GJ\n",
      "MVL21-MVL22_GJ 15 exc Generic_GJ\n",
      "MVL22-MVL21_GJ 15 exc Generic_GJ\n",
      "MVL22-MVL23_GJ 15 exc Generic_GJ\n",
      "MVL23-MVL22_GJ 15 exc Generic_GJ\n",
      "MVR01-MVR02_GJ 15 exc Generic_GJ\n",
      "MVR01-MVR03_GJ 15 exc Generic_GJ\n",
      "MVR02-MVR01_GJ 15 exc Generic_GJ\n",
      "MVR02-MVR03_GJ 15 exc Generic_GJ\n",
      "MVR03-MVR01_GJ 15 exc Generic_GJ\n",
      "MVR03-MVR02_GJ 15 exc Generic_GJ\n",
      "MVR03-MVR04_GJ 15 exc Generic_GJ\n",
      "MVR04-MVR03_GJ 15 exc Generic_GJ\n",
      "MVR04-MVR05_GJ 15 exc Generic_GJ\n",
      "MVR05-MVR04_GJ 15 exc Generic_GJ\n",
      "MVR05-MVR06_GJ 15 exc Generic_GJ\n",
      "MVR06-MVR05_GJ 15 exc Generic_GJ\n",
      "MVR06-MVR07_GJ 15 exc Generic_GJ\n",
      "MVR07-MVR06_GJ 15 exc Generic_GJ\n",
      "MVR07-MVR08_GJ 15 exc Generic_GJ\n",
      "MVR08-MVL09_GJ 2 exc Generic_GJ\n",
      "MVR08-MVR07_GJ 15 exc Generic_GJ\n",
      "MVR08-MVR09_GJ 15 exc Generic_GJ\n",
      "MVR09-MVR08_GJ 15 exc Generic_GJ\n",
      "MVR09-MVR10_GJ 15 exc Generic_GJ\n",
      "MVR10-MVR09_GJ 15 exc Generic_GJ\n",
      "MVR10-MVR11_GJ 15 exc Generic_GJ\n",
      "MVR11-MVR10_GJ 15 exc Generic_GJ\n",
      "MVR11-MVR12_GJ 15 exc Generic_GJ\n",
      "MVR12-MVR11_GJ 15 exc Generic_GJ\n",
      "MVR12-MVR13_GJ 15 exc Generic_GJ\n",
      "MVR13-MVR12_GJ 15 exc Generic_GJ\n",
      "MVR13-MVR14_GJ 15 exc Generic_GJ\n",
      "MVR14-MVR13_GJ 15 exc Generic_GJ\n",
      "MVR14-MVR15_GJ 15 exc Generic_GJ\n",
      "MVR15-MVR14_GJ 15 exc Generic_GJ\n",
      "MVR15-MVR16_GJ 15 exc Generic_GJ\n",
      "MVR16-MVR15_GJ 15 exc Generic_GJ\n",
      "MVR16-MVR17_GJ 15 exc Generic_GJ\n",
      "MVR17-MVR16_GJ 15 exc Generic_GJ\n",
      "MVR17-MVR18_GJ 15 exc Generic_GJ\n",
      "MVR18-MVR17_GJ 15 exc Generic_GJ\n",
      "MVR18-MVR19_GJ 15 exc Generic_GJ\n",
      "MVR19-MVR18_GJ 15 exc Generic_GJ\n",
      "MVR19-MVR20_GJ 15 exc Generic_GJ\n",
      "MVR20-MVR19_GJ 15 exc Generic_GJ\n",
      "MVR20-MVR21_GJ 15 exc Generic_GJ\n",
      "MVR21-MVR20_GJ 15 exc Generic_GJ\n",
      "MVR21-MVR22_GJ 15 exc Generic_GJ\n",
      "MVR22-MVR21_GJ 15 exc Generic_GJ\n",
      "MVR22-MVR23_GJ 15 exc Generic_GJ\n",
      "MVR23-MVR22_GJ 15 exc Generic_GJ\n",
      "c302      >>>  Writing generated network to: /home/developer/forks/CElegansNeuroML/CElegans/pythonScripts/c302/examples/c302_C2_AVB_VB_DB_VD_DD.nml\n",
      "Validating examples/c302_C2_AVB_VB_DB_VD_DD.nml against /usr/local/lib/python2.7/dist-packages/neuroml/nml/NeuroML_v2beta4.xsd\n",
      "It's valid!\n",
      "(Re)written network file to: examples/c302_C2_AVB_VB_DB_VD_DD.nml\n",
      "c302      >>>  Finished simulation of LEMS_c302_C2_AVB_VB_DB_VD_DD.xml and have reloaded results\n",
      "c302      >>>  Reloaded data: ['MVL16/0/GenericMuscleCell/caConc', 'MDR14/0/GenericMuscleCell/caConc', 'MDR20/0/GenericMuscleCell/caConc', 'MDR14/0/GenericMuscleCell/v', 'MVL19/0/GenericMuscleCell/caConc', 'MVL24/0/GenericMuscleCell/v', 'MVL22/0/GenericMuscleCell/v', 'DB5/0/GenericNeuronCell/v', 'MVR02/0/GenericMuscleCell/v', 'MDR21/0/GenericMuscleCell/caConc', 'MDL08/0/GenericMuscleCell/v', 'VB2/0/GenericNeuronCell/caConc', 'MVR09/0/GenericMuscleCell/caConc', 'MDR10/0/GenericMuscleCell/v', 'VD8/0/GenericNeuronCell/v', 'MVR05/0/GenericMuscleCell/v', 'VD1/0/GenericNeuronCell/v', 'VB11/0/GenericNeuronCell/v', 'MDR18/0/GenericMuscleCell/v', 'DD1/0/GenericNeuronCell/caConc', 'MVL10/0/GenericMuscleCell/v', 'MDR13/0/GenericMuscleCell/caConc', 'DD2/0/GenericNeuronCell/caConc', 'DD6/0/GenericNeuronCell/v', 'VB1/0/GenericNeuronCell/v', 'MDR11/0/GenericMuscleCell/v', 'DB4/0/GenericNeuronCell/v', 'MVL17/0/GenericMuscleCell/v', 'MVR04/0/GenericMuscleCell/v', 'MVL05/0/GenericMuscleCell/v', 'MVR19/0/GenericMuscleCell/caConc', 'MVR10/0/GenericMuscleCell/v', 'MDR17/0/GenericMuscleCell/v', 'VB1/0/GenericNeuronCell/caConc', 'MDL23/0/GenericMuscleCell/v', 'MDR03/0/GenericMuscleCell/caConc', 'MVL07/0/GenericMuscleCell/caConc', 'MDL06/0/GenericMuscleCell/v', 'MDR18/0/GenericMuscleCell/caConc', 'MDL11/0/GenericMuscleCell/v', 'MDR16/0/GenericMuscleCell/v', 'MVR01/0/GenericMuscleCell/v', 'VB7/0/GenericNeuronCell/v', 'VD4/0/GenericNeuronCell/v', 'MVR19/0/GenericMuscleCell/v', 'DB6/0/GenericNeuronCell/v', 'DD3/0/GenericNeuronCell/caConc', 'VD13/0/GenericNeuronCell/caConc', 'MDL16/0/GenericMuscleCell/caConc', 'VD4/0/GenericNeuronCell/caConc', 'MDL24/0/GenericMuscleCell/v', 'MDL02/0/GenericMuscleCell/caConc', 'MVR21/0/GenericMuscleCell/v', 'DB1/0/GenericNeuronCell/v', 'VD8/0/GenericNeuronCell/caConc', 'MVL01/0/GenericMuscleCell/caConc', 'DD5/0/GenericNeuronCell/v', 'VB3/0/GenericNeuronCell/v', 'VB2/0/GenericNeuronCell/v', 'MDR02/0/GenericMuscleCell/v', 't', 'DB4/0/GenericNeuronCell/caConc', 'MDL19/0/GenericMuscleCell/caConc', 'MDL16/0/GenericMuscleCell/v', 'MDR11/0/GenericMuscleCell/caConc', 'MVL05/0/GenericMuscleCell/caConc', 'VB5/0/GenericNeuronCell/caConc', 'VB3/0/GenericNeuronCell/caConc', 'AVBL/0/GenericNeuronCell/v', 'MVL20/0/GenericMuscleCell/caConc', 'VB9/0/GenericNeuronCell/v', 'DB3/0/GenericNeuronCell/caConc', 'MDR16/0/GenericMuscleCell/caConc', 'VD11/0/GenericNeuronCell/caConc', 'MDL24/0/GenericMuscleCell/caConc', 'MDR05/0/GenericMuscleCell/v', 'DB5/0/GenericNeuronCell/caConc', 'MDL13/0/GenericMuscleCell/v', 'MDL11/0/GenericMuscleCell/caConc', 'MDR09/0/GenericMuscleCell/v', 'MVL14/0/GenericMuscleCell/v', 'MDR15/0/GenericMuscleCell/v', 'VD6/0/GenericNeuronCell/caConc', 'MVR22/0/GenericMuscleCell/v', 'VD12/0/GenericNeuronCell/v', 'MDL12/0/GenericMuscleCell/caConc', 'VB6/0/GenericNeuronCell/v', 'MDL20/0/GenericMuscleCell/v', 'MVR18/0/GenericMuscleCell/v', 'VD10/0/GenericNeuronCell/v', 'MVL22/0/GenericMuscleCell/caConc', 'MVL03/0/GenericMuscleCell/caConc', 'MVL06/0/GenericMuscleCell/v', 'MVL04/0/GenericMuscleCell/v', 'MDL08/0/GenericMuscleCell/caConc', 'MDR12/0/GenericMuscleCell/v', 'MVR05/0/GenericMuscleCell/caConc', 'MDL06/0/GenericMuscleCell/caConc', 'MVR23/0/GenericMuscleCell/v', 'MDR13/0/GenericMuscleCell/v', 'VB11/0/GenericNeuronCell/caConc', 'MDL03/0/GenericMuscleCell/caConc', 'MVL19/0/GenericMuscleCell/v', 'MDR05/0/GenericMuscleCell/caConc', 'VD10/0/GenericNeuronCell/caConc', 'MVL16/0/GenericMuscleCell/v', 'MVR02/0/GenericMuscleCell/caConc', 'MDL17/0/GenericMuscleCell/caConc', 'MVL23/0/GenericMuscleCell/v', 'MDR04/0/GenericMuscleCell/caConc', 'MVR16/0/GenericMuscleCell/caConc', 'MDL05/0/GenericMuscleCell/caConc', 'MDR15/0/GenericMuscleCell/caConc', 'VD5/0/GenericNeuronCell/caConc', 'MDR06/0/GenericMuscleCell/v', 'VB4/0/GenericNeuronCell/v', 'MVR14/0/GenericMuscleCell/caConc', 'MVR17/0/GenericMuscleCell/v', 'MDL18/0/GenericMuscleCell/v', 'MVR07/0/GenericMuscleCell/v', 'MVR13/0/GenericMuscleCell/caConc', 'MDL14/0/GenericMuscleCell/caConc', 'VB9/0/GenericNeuronCell/caConc', 'MDL23/0/GenericMuscleCell/caConc', 'MVL18/0/GenericMuscleCell/v', 'MVL15/0/GenericMuscleCell/caConc', 'MDL03/0/GenericMuscleCell/v', 'MVL23/0/GenericMuscleCell/caConc', 'VD9/0/GenericNeuronCell/v', 'MVL09/0/GenericMuscleCell/v', 'MVR06/0/GenericMuscleCell/v', 'MDL01/0/GenericMuscleCell/caConc', 'MVL24/0/GenericMuscleCell/caConc', 'MDR12/0/GenericMuscleCell/caConc', 'MVL08/0/GenericMuscleCell/caConc', 'VB5/0/GenericNeuronCell/v', 'MDR10/0/GenericMuscleCell/caConc', 'DB7/0/GenericNeuronCell/caConc', 'MDR23/0/GenericMuscleCell/caConc', 'DB1/0/GenericNeuronCell/caConc', 'MVR16/0/GenericMuscleCell/v', 'MDL18/0/GenericMuscleCell/caConc', 'MDL10/0/GenericMuscleCell/caConc', 'MDL07/0/GenericMuscleCell/caConc', 'MVL06/0/GenericMuscleCell/caConc', 'DD2/0/GenericNeuronCell/v', 'MDR20/0/GenericMuscleCell/v', 'MDR23/0/GenericMuscleCell/v', 'MDL22/0/GenericMuscleCell/caConc', 'MVL10/0/GenericMuscleCell/caConc', 'MVR08/0/GenericMuscleCell/v', 'MVR20/0/GenericMuscleCell/v', 'MDR04/0/GenericMuscleCell/v', 'MVL09/0/GenericMuscleCell/caConc', 'MVL21/0/GenericMuscleCell/caConc', 'MVL20/0/GenericMuscleCell/v', 'VB8/0/GenericNeuronCell/caConc', 'DB7/0/GenericNeuronCell/v', 'VB4/0/GenericNeuronCell/caConc', 'VD1/0/GenericNeuronCell/caConc', 'MDR19/0/GenericMuscleCell/v', 'MVL15/0/GenericMuscleCell/v', 'MVL13/0/GenericMuscleCell/caConc', 'MDL02/0/GenericMuscleCell/v', 'MVL02/0/GenericMuscleCell/v', 'MDR01/0/GenericMuscleCell/caConc', 'MDR07/0/GenericMuscleCell/caConc', 'MVR11/0/GenericMuscleCell/caConc', 'MVR18/0/GenericMuscleCell/caConc', 'MDL09/0/GenericMuscleCell/v', 'MDR07/0/GenericMuscleCell/v', 'DD4/0/GenericNeuronCell/caConc', 'VD13/0/GenericNeuronCell/v', 'MVR09/0/GenericMuscleCell/v', 'MDL04/0/GenericMuscleCell/v', 'DB2/0/GenericNeuronCell/caConc', 'MVL02/0/GenericMuscleCell/caConc', 'MVL14/0/GenericMuscleCell/caConc', 'MDR17/0/GenericMuscleCell/caConc', 'DB2/0/GenericNeuronCell/v', 'MDL13/0/GenericMuscleCell/caConc', 'MDR06/0/GenericMuscleCell/caConc', 'MDR03/0/GenericMuscleCell/v', 'MDL22/0/GenericMuscleCell/v', 'MDR08/0/GenericMuscleCell/v', 'MDL01/0/GenericMuscleCell/v', 'MVL01/0/GenericMuscleCell/v', 'MDL12/0/GenericMuscleCell/v', 'MVR15/0/GenericMuscleCell/v', 'MVL04/0/GenericMuscleCell/caConc', 'AVBL/0/GenericNeuronCell/caConc', 'DB3/0/GenericNeuronCell/v', 'MVL18/0/GenericMuscleCell/caConc', 'MDL09/0/GenericMuscleCell/caConc', 'MDL20/0/GenericMuscleCell/caConc', 'VD7/0/GenericNeuronCell/caConc', 'MVR11/0/GenericMuscleCell/v', 'MVL12/0/GenericMuscleCell/caConc', 'VD3/0/GenericNeuronCell/caConc', 'VD2/0/GenericNeuronCell/caConc', 'AVBR/0/GenericNeuronCell/v', 'DB6/0/GenericNeuronCell/caConc', 'DD1/0/GenericNeuronCell/v', 'MVR06/0/GenericMuscleCell/caConc', 'MVL07/0/GenericMuscleCell/v', 'MDL04/0/GenericMuscleCell/caConc', 'MDL21/0/GenericMuscleCell/v', 'MVR07/0/GenericMuscleCell/caConc', 'MVR23/0/GenericMuscleCell/caConc', 'MDR24/0/GenericMuscleCell/v', 'MDR09/0/GenericMuscleCell/caConc', 'MVL08/0/GenericMuscleCell/v', 'MVR01/0/GenericMuscleCell/caConc', 'DD5/0/GenericNeuronCell/caConc', 'MVR03/0/GenericMuscleCell/v', 'MVR17/0/GenericMuscleCell/caConc', 'MVR22/0/GenericMuscleCell/caConc', 'MVR13/0/GenericMuscleCell/v', 'MVR21/0/GenericMuscleCell/caConc', 'MVR04/0/GenericMuscleCell/caConc', 'MDL05/0/GenericMuscleCell/v', 'VD5/0/GenericNeuronCell/v', 'AVBR/0/GenericNeuronCell/caConc', 'MDL17/0/GenericMuscleCell/v', 'VD11/0/GenericNeuronCell/v', 'VD9/0/GenericNeuronCell/caConc', 'MDL15/0/GenericMuscleCell/caConc', 'MVR10/0/GenericMuscleCell/caConc', 'MDL14/0/GenericMuscleCell/v', 'MDR19/0/GenericMuscleCell/caConc', 'VD3/0/GenericNeuronCell/v', 'MVL03/0/GenericMuscleCell/v', 'DD4/0/GenericNeuronCell/v', 'MDL21/0/GenericMuscleCell/caConc', 'MVL17/0/GenericMuscleCell/caConc', 'MVL21/0/GenericMuscleCell/v', 'VD12/0/GenericNeuronCell/caConc', 'MDR01/0/GenericMuscleCell/v', 'MVR12/0/GenericMuscleCell/v', 'DD3/0/GenericNeuronCell/v', 'MVL11/0/GenericMuscleCell/v', 'MDR02/0/GenericMuscleCell/caConc', 'MDR24/0/GenericMuscleCell/caConc', 'MVL11/0/GenericMuscleCell/caConc', 'DD6/0/GenericNeuronCell/caConc', 'MDL10/0/GenericMuscleCell/v', 'VD2/0/GenericNeuronCell/v', 'MVR20/0/GenericMuscleCell/caConc', 'MDL07/0/GenericMuscleCell/v', 'MVR08/0/GenericMuscleCell/caConc', 'MDR22/0/GenericMuscleCell/caConc', 'VD6/0/GenericNeuronCell/v', 'MVR12/0/GenericMuscleCell/caConc', 'MVL13/0/GenericMuscleCell/v', 'MDL15/0/GenericMuscleCell/v', 'MVR03/0/GenericMuscleCell/caConc', 'MVR14/0/GenericMuscleCell/v', 'MDR08/0/GenericMuscleCell/caConc', 'VB10/0/GenericNeuronCell/v', 'MDR22/0/GenericMuscleCell/v', 'MDL19/0/GenericMuscleCell/v', 'MVL12/0/GenericMuscleCell/v', 'MDR21/0/GenericMuscleCell/v', 'VB7/0/GenericNeuronCell/caConc', 'VB6/0/GenericNeuronCell/caConc', 'VB10/0/GenericNeuronCell/caConc', 'VB8/0/GenericNeuronCell/v', 'VD7/0/GenericNeuronCell/v', 'MVR15/0/GenericMuscleCell/caConc']\n",
      "c302      >>>  All cells: ['VD13', 'VD12', 'VD11', 'VD10', 'VD9', 'VD8', 'VD7', 'VD6', 'VD5', 'VD4', 'VD3', 'VD2', 'VD1', 'VB11', 'VB10', 'VB9', 'VB8', 'VB7', 'VB6', 'VB5', 'VB4', 'VB3', 'VB2', 'VB1', 'DD6', 'DD5', 'DD4', 'DD3', 'DD2', 'DD1', 'DB7', 'DB6', 'DB5', 'DB4', 'DB3', 'DB2', 'DB1', 'AVBR', 'AVBL']\n",
      "c302      >>>  Plotting neuron voltages\n",
      "c302      >>>  Generating plots for: Membrane potentials of 39 neuron(s) (AVB_VB_DB_VD_DD C2)\n",
      "c302      >>>  Plotting muscle voltages\n",
      "c302      >>>  Generating plots for: Membrane potentials of 95 muscle(s) (AVB_VB_DB_VD_DD C2)\n"
     ]
    },
    {
     "data": {
      "image/png": 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MiKIORQ2oFdRrBbNZm/msyYKazIU2dQJC5BS0DBqW0bQaLauRmyiSvhWGMIKMTAUBI1Ag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\nzMxKuYAwM7NS/wEXUZfepNO/lgAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fd75ea30410>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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JZHpJpTsxsj3YdieOaiUhGdJ6hkHdRGUFR+koR8dxAjgEUMEgBAIQDSISRNNB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\nuFARLqWn8DWohF26M+XoRo6MMInYEfZu3THKGgYcjmKsYe4FVuBPv74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/BzWZxO3qQh83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\nAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fd7320557d0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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SanFCTVJa0XTt9lrI+TofrWSHVEhcpDEivVA1QQL9Z//dHNY/CXMTvghzBS4e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\nH99BtYpux7sYdkbCtGdL5v4bx2nb/Xc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      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fd732801c10>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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chEyZMoVVqwquZ6PRaDSaPIjI7mOn0pwo9BCJRqPRaDSaEUcrGBqNRqPRaEYcrWBoNBqN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Xrbtm28OUCIzdhZTEyMSqvVqoOCgjxfeeUVL8d8wsFjM3a2atUq98DAQE+tVqvOyspyctynHBy2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\nZvd4tAuFAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fd732836950>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from runAndPlot import run_c302\n",
    "\n",
    "%matplotlib inline\n",
    "cells, cells_to_stimulate, params, muscles = run_c302('AVB_VB_DB_VD_DD','C2','',4000,0.05,'jNeuroML_NEURON',verbose=False, plot_ca=False, data_reader=\"UpdatedSpreadsheetDataReader\", config_package=\"notebooks.configs.AVB\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true,
    "scrolled": true
   },
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 2",
   "language": "python",
   "name": "python2"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 2
   },
   "file_extension": ".py",
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